Iteratively regularized Gauss-Newton method for atmospheric remote sensing

DOI10.1016/S0010-4655(02)00555-6zbMath1196.86001OpenAlexW2015546663MaRDI QIDQ709339

Adrian Doicu, Franz Schreier, Michael Hess

Publication date: 18 October 2010

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0010-4655(02)00555-6

Mathematics Subject Classification ID

Meteorology and atmospheric physics (86A10) Software, source code, etc. for problems pertaining to geophysics (86-04)

Related Items (6)

A proximal iteratively regularized Gauss-Newton method for nonlinear inverse problems ⋮ Space-dependent perfusion coefficient estimation in a 2D bioheat transfer problem ⋮ Regularization in model updating ⋮ Iteratively regularized Gauss-Newton method for bound-constraint problems in atmospheric remote sensing ⋮ Iterative regularization method for lidar remote sensing ⋮ Inverse Sturm–Liouville problems with pseudospectral methods

Uses Software

• Regularization tools
• UTV
• UNCMND
• pchip

Cites Work

• A cross validated Bayesian retrieval algorithm for nonlinear remote sensing experiments
• Multi-parameter regularization techniques for ill-conditioned linear systems
• The problem of the convergence of the iteratively regularized Gauss- Newton method
• Tikhonov regularisation for non-linear ill-posed problems: optimal convergence rates and finite-dimensional approximation
• A convergence analysis of iterative methods for the solution of nonlinear ill-posed problems under affinely invariant conditions
• Error estimates for regularized solutions of non-linear ill-posed problems
• Resolution of seismic waveform inversion: Bayes versus Occam
• On convergence rates for the iteratively regularized Gauss-newton method
• Logarithmic convergence rates of the iteratively regularized Gauss - Newton method for an inverse potential and an inverse scattering problem
• On a general regularization scheme for nonlinear ill-posed problems
• Non-convergence of the L-curve regularization parameter selection method
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